Mingyao Cui

2.2k total citations · 3 hit papers
23 papers, 1.3k citations indexed

About

Mingyao Cui is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Mingyao Cui has authored 23 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 8 papers in Aerospace Engineering and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Mingyao Cui's work include Advanced MIMO Systems Optimization (10 papers), Millimeter-Wave Propagation and Modeling (8 papers) and Microwave Engineering and Waveguides (5 papers). Mingyao Cui is often cited by papers focused on Advanced MIMO Systems Optimization (10 papers), Millimeter-Wave Propagation and Modeling (8 papers) and Microwave Engineering and Waveguides (5 papers). Mingyao Cui collaborates with scholars based in China, Hong Kong and Australia. Mingyao Cui's co-authors include Linglong Dai, Zidong Wu, Xiuhong Wei, Yu Lü, Derrick Wing Kwan Ng, Shidong Zhou, Zhaocheng Wang, Ning Ge, Zijian Zhang and Shenheng Xu and has published in prestigious journals such as Applied Physics Letters, IEEE Journal on Selected Areas in Communications and IEEE Communications Magazine.

In The Last Decade

Mingyao Cui

21 papers receiving 1.3k citations

Hit Papers

Channel Estimation for Extremely Large-Scale MIMO: Far-Fi... 2022 2026 2023 2024 2022 2022 2024 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mingyao Cui China 13 1.1k 767 118 46 46 23 1.3k
Jaekon Lee South Korea 6 2.2k 1.9× 933 1.2× 227 1.9× 26 0.6× 169 3.7× 14 2.3k
Farshid Aryanfar United States 16 2.5k 2.2× 1.0k 1.3× 229 1.9× 30 0.7× 145 3.2× 43 2.7k
Zuping Qian China 25 1.5k 1.3× 1.4k 1.9× 148 1.3× 24 0.5× 34 0.7× 133 1.8k
Zhe Chen China 18 1.1k 1.0× 446 0.6× 65 0.6× 17 0.4× 21 0.5× 103 1.2k
Andrés Alayón Glazunov Sweden 16 1.1k 1.0× 804 1.0× 103 0.9× 16 0.3× 71 1.5× 169 1.3k
Zhiqiang Yu China 21 2.6k 2.3× 2.1k 2.7× 120 1.0× 30 0.7× 63 1.4× 111 3.0k
Yasaman Ghasempour United States 14 791 0.7× 205 0.3× 152 1.3× 26 0.6× 30 0.7× 54 896
Асок Де India 17 664 0.6× 725 0.9× 69 0.6× 14 0.3× 19 0.4× 145 942
Alessandro Cidronali Italy 22 1.2k 1.0× 426 0.6× 131 1.1× 228 5.0× 26 0.6× 160 1.4k
Mohammed Al‐Husseini Lebanon 16 609 0.5× 606 0.8× 107 0.9× 20 0.4× 23 0.5× 106 786

Countries citing papers authored by Mingyao Cui

Since Specialization
Citations

This map shows the geographic impact of Mingyao Cui's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mingyao Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingyao Cui more than expected).

Fields of papers citing papers by Mingyao Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mingyao Cui. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mingyao Cui. The network helps show where Mingyao Cui may publish in the future.

Co-authorship network of co-authors of Mingyao Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Mingyao Cui. A scholar is included among the top collaborators of Mingyao Cui based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mingyao Cui. Mingyao Cui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cui, Mingyao, Zijian Zhang, Linglong Dai, & Kaibin Huang. (2025). Ice-Filling: Near-Optimal Channel Estimation for Dense Array Systems. IEEE Transactions on Wireless Communications. 24(10). 8551–8564. 3 indexed citations
2.
Cui, Mingyao, et al.. (2025). Rydberg Atomic Receiver: Next Frontier of Wireless Communications. IEEE Communications Magazine. 64(1). 146–152. 2 indexed citations
3.
Cui, Mingyao, Qunsong Zeng, & Kaibin Huang. (2025). Mimo Precoding for Rydberg Atomic Receivers Enabled Wireless Communications. 4792–4797.
4.
Cui, Mingyao, et al.. (2025). Towards Atomic MIMO Receivers. IEEE Journal on Selected Areas in Communications. 43(3). 659–673. 12 indexed citations
5.
Cui, Mingyao, et al.. (2024). Multi-User SIMO Wireless Communications Based on Atomic Receivers. 4101–4106. 2 indexed citations
6.
Zheng, Tianyue, Mingyao Cui, Zidong Wu, & Linglong Dai. (2024). Near-Field Wideband Beam Training Based on Distance-Dependent Beam Split. IEEE Transactions on Wireless Communications. 24(2). 1278–1292. 7 indexed citations
7.
Cui, Mingyao & Linglong Dai. (2024). Near-Field Wideband Beamforming for Extremely Large Antenna Arrays. IEEE Transactions on Wireless Communications. 23(10). 13110–13124. 76 indexed citations breakdown →
8.
Cui, Mingyao, et al.. (2024). Continuous-time channel prediction based on tensor neural ordinary differential equation. China Communications. 21(1). 163–174. 4 indexed citations
9.
Zhang, Zijian, et al.. (2023). Channel Estimation for Non-Stationary Extremely Large-Scale MIMO. 1–5. 2 indexed citations
10.
Cui, Mingyao & Linglong Dai. (2023). Near-field wideband channel estimation for extremely large-scale MIMO. Science China Information Sciences. 66(7). 32 indexed citations
11.
Wu, Zidong, Mingyao Cui, & Linglong Dai. (2023). Enabling More Users to Benefit From Near-Field Communications: From Linear to Circular Array. IEEE Transactions on Wireless Communications. 23(4). 3735–3748. 44 indexed citations
12.
Cui, Mingyao, et al.. (2023). Transmissive RIS for B5G Communications: Design, Prototyping, and Experimental Demonstrations. IEEE Transactions on Communications. 71(11). 6605–6615. 32 indexed citations
13.
Wu, Zidong, Mingyao Cui, Zijian Zhang, & Linglong Dai. (2022). Distance-Aware Precoding for Near-Field Capacity Improvement in XL-MIMO. 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring). 1–5. 31 indexed citations
14.
Cui, Mingyao, et al.. (2022). Accurate Channel Prediction Based on Transformer: Making Mobility Negligible. IEEE Journal on Selected Areas in Communications. 40(9). 2717–2732. 98 indexed citations
15.
Cui, Mingyao, Linglong Dai, Zhaocheng Wang, Shidong Zhou, & Ning Ge. (2022). Near-Field Rainbow: Wideband Beam Training for XL-MIMO. IEEE Transactions on Wireless Communications. 22(6). 3899–3912. 106 indexed citations
16.
Cui, Mingyao, Zidong Wu, Yu Lü, Xiuhong Wei, & Linglong Dai. (2022). Near-Field MIMO Communications for 6G: Fundamentals, Challenges, Potentials, and Future Directions. IEEE Communications Magazine. 61(1). 40–46. 353 indexed citations breakdown →
17.
Cui, Mingyao & Linglong Dai. (2022). Channel Estimation for Extremely Large-Scale MIMO: Far-Field or Near-Field?. IEEE Transactions on Communications. 70(4). 2663–2677. 453 indexed citations breakdown →
18.
Cui, Mingyao & Linglong Dai. (2021). Near-Field Channel Estimation for Extremely Large-scale MIMO with Hybrid Precoding. 2021 IEEE Global Communications Conference (GLOBECOM). 1–6. 23 indexed citations
19.
Wang, C.C., Mingyao Cui, Xu-Qian Zheng, & Jing Zhu. (2004). Induction of superconductivity of a La2CuO4 thin film chemically oxidized by NaClO. Applied Physics A. 78(8). 1193–1196. 4 indexed citations
20.
Cui, Mingyao, Jinlong Zhu, Xiaoyan Zhong, Zhao Yú, & Xiangfeng Duan. (2004). Cobalt valence in epitaxial Ti0.93Co0.07O2 anatase. Applied Physics Letters. 85(10). 1698–1700. 24 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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